WO2019071414A1 - Procédé et dispositif de guidage de stationnement, appareil informatique et support d'informations - Google Patents

Procédé et dispositif de guidage de stationnement, appareil informatique et support d'informations Download PDF

Info

Publication number
WO2019071414A1
WO2019071414A1 PCT/CN2017/105480 CN2017105480W WO2019071414A1 WO 2019071414 A1 WO2019071414 A1 WO 2019071414A1 CN 2017105480 W CN2017105480 W CN 2017105480W WO 2019071414 A1 WO2019071414 A1 WO 2019071414A1
Authority
WO
WIPO (PCT)
Prior art keywords
parking lot
parking
current
vehicle
location
Prior art date
Application number
PCT/CN2017/105480
Other languages
English (en)
Chinese (zh)
Inventor
彭磊
董适
李慧云
Original Assignee
深圳先进技术研究院
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 深圳先进技术研究院 filed Critical 深圳先进技术研究院
Priority to PCT/CN2017/105480 priority Critical patent/WO2019071414A1/fr
Publication of WO2019071414A1 publication Critical patent/WO2019071414A1/fr

Links

Images

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G01C21/34—Route searching; Route guidance
    • G01C21/36—Input/output arrangements for on-board computers
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/14—Traffic control systems for road vehicles indicating individual free spaces in parking areas

Definitions

  • the invention belongs to the technical field of computers, and in particular relates to a parking induction method, device, computing device and storage medium.
  • Parking difficulty is a very prominent problem in the current city.
  • Building a city-level parking guidance information service system (PGIS) is an effective way to alleviate this problem.
  • the parking guidance system of the existing parking lot needs to acquire the dynamic parking space information in the parking lot in real time, and induce parking of the user vehicle according to the dynamic parking space information acquired in real time.
  • PGIS city-level parking guidance information service system constructed by interconnecting all the parking lots in the city is used, it is necessary to obtain the dynamic parking space information in all parking lots in real time, which is limited by technology and funds. At this stage, it is difficult to achieve the interconnection of the entire city, which limits the effect of the induced application.
  • the object of the present invention is to provide a parking induction method, device, computing device and storage medium, which aims to solve the problem that the construction speed of the existing urban-level parking guidance system is too slow due to the real-time parking data, and the user effect is not obvious.
  • the problem is to provide a parking induction method, device, computing device and storage medium, which aims to solve the problem that the construction speed of the existing urban-level parking guidance system is too slow due to the real-time parking data, and the user effect is not obvious.
  • the present invention provides a parking inducing method, the method comprising the steps of:
  • the present invention provides a parking inducing device, the device comprising:
  • the indicator calculation unit is configured to acquire publicity information of the parking lot in the preset area, and calculate a hardware evaluation index of the parking lot according to the publicity information;
  • a data storage unit configured to acquire a location connection relationship between the parking lots in the preset area, calculate a service evaluation index of the parking lot according to the location connection relationship and the hardware evaluation index, and calculate the calculated Service evaluation indicators are stored in the parking lot publicity database;
  • a vehicle location acquisition unit configured to acquire a current location of the user vehicle when receiving a parking induction request of the user vehicle
  • An indicator obtaining unit configured to acquire, according to a current location of the user vehicle, a parking lot within a preset range including the current location and a service evaluation index of the parking lot from a preset parking lot publicity database;
  • a reference value calculation unit configured to calculate a current recommended reference value of the parking lot according to an orientation relationship between the parking lot and the location of the user vehicle and the service evaluation indicator;
  • the parking inducing unit is configured to set the calculated parking lot with the current recommended reference value as the target parking lot of the user vehicle, and perform parking induction on the user vehicle according to the target parking lot.
  • the present invention also provides a computing device including a memory, a processor, and a computer program stored in the memory and operable on the processor, the processor implementing the computer program The steps of the parking induction method as described.
  • the present invention also provides a computer readable storage medium, the computer readable storage
  • the storage medium stores a computer program that, when executed by the processor, implements the steps of the parking inducing method.
  • the invention acquires the publicity information of the parking lot in the preset area, calculates the hardware evaluation index of the parking lot according to the public information, acquires the position connection relationship between the parking lots in the preset area, and calculates the parking according to the position connection relationship and the hardware evaluation index.
  • the service evaluation index of the field and storing the calculated service evaluation index in the parking lot publicity database, when receiving the parking induction request of the user vehicle, acquiring the current location of the user vehicle, and presetting according to the current location of the user vehicle
  • the parking lot publicity database obtains the service evaluation index of the parking lot and the parking lot within the preset range including the current location, and calculates the current recommended reference of the parking lot according to the orientation relationship between the parking lot and the location of the user's vehicle and the service evaluation index.
  • the value is obtained by setting the calculated parking lot with the current recommended reference value as the target parking lot of the user's vehicle, and parking the user's vehicle according to the target parking lot, thereby using the service evaluation index calculated according to the publicity information of the parking lot as Parking induced reference data, Induction of the parking reference data acquisition and calculation, the parking guidance data storage reduced hardware requirements, reduce the amount of data calculated parking guidance, thus reducing the complexity of the parking guidance.
  • FIG. 1 is a flowchart showing an implementation of a parking guidance method according to Embodiment 1 of the present invention
  • Figure 2 is a parking lot public sign
  • Figure 3 is a graphical structure of a parking lot
  • FIG. 4 is a schematic diagram of a parking lot and a user's vehicle in a preset coordinate system
  • FIG. 5 is a schematic diagram showing the results of the current recommended reference values of the respective parking lots
  • FIG. 6 is a schematic structural view of a parking guidance device according to Embodiment 2 of the present invention.
  • FIG. 7 is a schematic structural diagram of a parking guidance device according to Embodiment 3 of the present invention.
  • FIG. 8 is a schematic structural diagram of a computing device according to Embodiment 4 of the present invention.
  • Embodiment 1 is a diagrammatic representation of Embodiment 1:
  • FIG. 1 is a flowchart showing an implementation process of a parking inference method according to Embodiment 1 of the present invention. For convenience of description, only parts related to the embodiment of the present invention are shown, which are described in detail as follows:
  • step S101 the public information of the parking lot in the preset area is acquired, and the hardware evaluation index of the parking lot is calculated according to the public information.
  • the embodiment of the invention is applicable to the parking guidance device, so as to facilitate the parking induction of the user vehicle according to the current position of the user's vehicle, thereby solving the problem that the user is difficult to park.
  • the public information of the parking lot in the preset area is acquired and a corresponding public information database is established to facilitate the use of the data in the public information database in the subsequent parking induction process, and then, according to the public information of the parking lot. Calculate the hardware evaluation indicators of the parking lot.
  • the preset area may be a preset urban area, for example, Beijing, Shenzhen, and the public information is the filing information of each parking lot, and may be the same as the public information displayed on the parking lot public sign (shown in FIG. 2).
  • parking lot type for example, non-opening type, residential type, social public type
  • parking lot parking space and parking lot charging standards etc.
  • the parking lot hardware evaluation index reflects the parking lot hardware aspect acceptable user vehicle parking Capacity
  • the service evaluation index of the parking lot reflects the comprehensive ability of the parking lot to accept the parking of the user's vehicle.
  • the parking service feature value may include a service visibility factor, a service capability factor, a selection willing factor, and the like.
  • the letter a can be used to indicate the service visibility factor, a ⁇ [0, 1], and the closer to 0, the lower the willingness of the parking lot to open to the society, and the closer a is to 1, indicating that Parking lot facing the society The higher the willingness to open;
  • the letter b can be used to indicate the service capability factor, b ⁇ 0, and the b is closer to 0, indicating that the service capacity of the parking lot is lower, and b is closer to 1, indicating the service of the parking lot.
  • the hardware evaluation index of the social public parking lot with large capacity and low charging characteristics is high, and the hardware evaluation index of the residential parking lot with small capacity and high charging characteristics is low. , thus improving the accuracy of hardware evaluation indicators.
  • step S102 the location connection relationship between the parking lots in the preset area is acquired, the service evaluation index of the parking lot is calculated according to the location connection relationship and the hardware evaluation index, and the calculated service evaluation index is stored in the parking lot publicity database. in.
  • the publicity information provides reference data for subsequent parking guidance, which simplifies the acquisition process of parking lot data and reduces the hardware requirements for parking induced data storage.
  • the formula is used according to the location connection relationship between the parking lots in the preset area.
  • the hardware evaluation index of the parking lot is iteratively calculated, and the iteration is stopped until the preset convergence condition is reached, and the service evaluation index of the parking lot is obtained, thereby improving the calculation accuracy of the service evaluation index.
  • the preset convergence condition may be ⁇ is a sufficiently small preset value,
  • the service weight in the parking lot graphic structure of the parking lot P i in the preset area, and the initial value is The higher the service evaluation index of the parking lot when the preset convergence condition is reached, the higher the evaluation of the parking lot in the preset area, k is the number of iterations, and q is a adjustable factor between [0, 1].
  • step S103 when the parking guidance request of the user's vehicle is received, the current position of the user's vehicle is acquired.
  • the user when receiving the parking induction request of the user vehicle, it is stated that the user needs to find a parking space in a nearby parking lot to perform parking. At this time, the current location of the user vehicle is acquired to obtain according to the location of the vehicle. parking lot.
  • step S104 based on the current location of the user's vehicle, the parking lot and the parking lot's service evaluation index including the current location are acquired from the preset parking lot publicity database.
  • the service evaluation indicators of the parking lots are obtained to further select from the parking lots according to the service evaluation indicators, wherein the service evaluation indicators are calculated and stored in advance according to the publicity information of the parking lots.
  • the data in the database is disclosed in the parking lot, so that the service evaluation index calculated based on the publicity information of the parking lot is used as the reference data for the parking guidance, and the process of obtaining the parking parking guidance reference data is optimized.
  • the preset range of the acquired parking lot is a circular range centered on the current position of the user's vehicle and having a radius of the preset length, thereby ensuring that the acquired parking lot is convenient for the user vehicle to perform the nearby parking.
  • the preset length may be updated according to a preset update manner. The line is updated to get the parking lot near the user's vehicle.
  • step S105 the current recommended reference value of the parking lot is calculated based on the orientation relationship between the parking lot and the location of the user's vehicle and the service evaluation index.
  • the current recommended reference value of the parking lot is calculated, and the current recommended reference value of the parking lot reflects the time required for the user's vehicle to drive to the parking lot, the driving cost to be spent, and the probability that the parking lot can be successfully parked.
  • the current recommended reference values of the parking lots when calculating the current recommended reference values of the parking lots according to the orientation relationship between the parking lot and the location of the user's vehicle and the calculated service evaluation index, firstly, according to the orientation relationship between the parking lots and the position of the user's vehicle. Calculate the current convenience of these parking lots.
  • the current convenience of the parking lot reflects the convenience of the user's vehicles from the current location to the parking lot. Then, based on the current convenience and service evaluation indicators of these parking lots, the parking lots are calculated. Reference values are currently recommended, which improves the accuracy of the calculation.
  • the current convenience of the parking lot when calculating the current convenience of the parking lot according to the orientation relationship between the parking lot and the location of the user's vehicle, first acquiring the vehicle coordinates of the user's vehicle in the preset coordinate system according to the current position of the user's vehicle, and acquiring The parking lot coordinates of the parking lot in the preset coordinate system, and then in the preset coordinate system, the current convenience of the parking lot is calculated according to the parking lot coordinates and the vehicle coordinates, thereby improving the accuracy of calculating the current convenience.
  • the preset coordinate system is a latitude and longitude coordinate system, thereby facilitating coordinate representation of the geospatial position.
  • the current convenience weight is set for the parking lot.
  • the service evaluation index and the weight of the current convenience are used to calculate the current recommended reference value of each parking lot, thereby further improving the accuracy of the calculation.
  • a formula can be used Calculate the current recommended reference value of each parking lot, thereby improving the calculation accuracy of the current recommended reference value, thereby improving the success rate of parking induction.
  • the current convenience weight, ⁇ lnPR i indicates the impact of the service evaluation index of the i parking lot on the parking lot selection, lnPR i represents the service evaluation index of the i parking lot, and ⁇ represents the preset weight of the service evaluation index.
  • step S106 the calculated parking lot with the current recommended reference value is set as the target parking lot of the user's vehicle, and the parking of the user is induced according to the target parking lot.
  • the larger the current recommended reference value of the parking lot the more the user can spend the minimum driving cost in the shortest time, and the probability of finding the parking space in the parking lot and parking is larger, specifically, the calculation is obtained.
  • the current recommended reference value of each parking lot may be as shown in FIG. 5 . Therefore, after calculating the current recommended reference value of each parking lot, first compare the current recommended reference values of the respective parking lots to find the current recommended reference value. The largest parking lot is then set as the target parking lot of the user's vehicle. Finally, according to the location of the target parking lot, a parking guidance scheme is generated, and the parking induction of the user vehicle is performed according to the generated parking induction scheme, thereby improving parking induction. Success rate.
  • the acquisition and calculation process of the parking parking guidance reference data is optimized, and the hardware of the parking induced data storage is reduced.
  • the requirement is that the amount of parking-induced data calculation is reduced, thereby reducing the complexity of parking induction.
  • Embodiment 2 is a diagrammatic representation of Embodiment 1:
  • FIG. 6 shows the structure of the parking inducing device provided by the second embodiment of the present invention. For the convenience of description, only parts related to the embodiment of the present invention are shown, including:
  • the indicator calculation unit 61 is configured to acquire publicity information of the parking lot in the preset area, and calculate a hardware evaluation index of the parking lot according to the publicity information.
  • the data storage unit 62 is configured to acquire a location connection relationship between the parking lots in the preset area, calculate a service evaluation index of the parking lot according to the location connection relationship and the hardware evaluation index, and store the calculated service evaluation indicator in the parking lot.
  • the public database In the public database.
  • the vehicle location acquisition unit 63 is configured to acquire a current location of the user vehicle when receiving the parking induction request of the user vehicle.
  • the indicator obtaining unit 64 is configured to acquire, from the preset parking lot publicity database, a service evaluation index of the parking lot and the parking lot within a preset range of the current location according to the current location of the user's vehicle.
  • the reference value calculation unit 65 is configured to calculate a current recommended reference value of the parking lot according to the orientation relationship between the parking lot and the location of the user's vehicle and the service evaluation index.
  • the parking inducing unit 66 is configured to set the calculated parking lot with the current recommended reference value as the target parking lot of the user vehicle, and perform parking induction on the user vehicle according to the target parking lot.
  • the public information of the parking lot in the preset area is obtained by the index calculating unit 61
  • the hardware evaluation index of the parking lot is calculated according to the public information
  • the parking spaces in the preset area are obtained by the data storage unit.
  • the location connection relationship is calculated according to the location connection relationship and the hardware evaluation index
  • the calculated service evaluation index is stored in the parking lot publicity database, and when the parking induction request of the user vehicle is received, the vehicle location acquisition is performed.
  • Unit 63 acquires the current location of the user's vehicle to make accurate parking induction based on the current location of the user's vehicle.
  • the indicator obtaining unit 64 acquires the parking lot and the service evaluation index of the parking lot within the preset range including the current location from the preset parking lot publicity database according to the current location of the user's vehicle, and the reference value calculating unit 65 according to the parking lot. Calculating the current recommended reference value of the parking lot with the orientation relationship and service evaluation index between the user's vehicle position, thereby reducing the dependence of the parking guidance on the prior data, and improving the dependence
  • the parking recommendation unit 66 sets the calculated parking lot with the current recommended reference value as the target parking lot of the user's vehicle, and performs parking induction on the user's vehicle according to the target parking lot, thereby using the accuracy of the current recommended reference value of the parking lot.
  • the service evaluation index calculated according to the publicity information of the parking lot is used as the reference data for parking guidance, and the calculation process of the parking parking guidance reference data is optimized, the hardware requirement of the parking induction data storage is reduced, and the calculation amount of the parking-induced data is reduced. This reduces the complexity of parking induction.
  • each unit of the parking inducing device may be implemented by a corresponding hardware or software unit, and each unit may be an independent software and hardware unit, or may be integrated into one soft and hardware unit, and the present invention is not limited thereto. .
  • Embodiment 3 is a diagrammatic representation of Embodiment 3
  • FIG. 7 shows a structure of a parking guidance device according to Embodiment 3 of the present invention. For convenience of description, only parts related to the embodiment of the present invention are shown, including:
  • the indicator calculation unit 71 is configured to acquire publicity information of the parking lot in the preset area, and obtain a hardware evaluation index of the parking lot according to the publicity information.
  • the preset area may be a preset urban area, for example, Beijing, Shenzhen, and the public information is the filing information of each parking lot, and may be the same as the public information on the parking lot public sign, including parking.
  • the type of field for example, non-opening type, residential type, social public type), parking lot parking space and parking lot charging standard, etc.
  • the hardware evaluation index of the parking lot reflects the ability of the parking lot hardware to accept the parking of the user vehicle.
  • the service evaluation index of the parking lot reflects the comprehensive ability of the parking lot to accept the parking of the user's vehicle.
  • the index calculation unit 71 before the parking induction is performed, the index calculation unit 71 first acquires the publicity information of the parking lot in the preset area and establishes a corresponding public information database to facilitate use in the public information database in the subsequent parking induction process. After the data, the hardware evaluation index of the parking lot is calculated according to the publicity information of the parking lot, thereby providing reference data for subsequent parking guidance.
  • the letter a is used to indicate the service visibility factor, a ⁇ [0, 1], and the closer to 0, the lower the willingness of the parking lot to open to the society, and the closer a is to 1, indicating the parking.
  • Scenes open to society The higher the willingness to release;
  • the letter b is used to indicate the service capability factor, b ⁇ 0, and b is closer to 0, indicating that the service capacity of the parking lot is lower, and b is closer to 1, indicating that the parking lot is The higher the service capacity (that is, the more parking spaces);
  • the hardware evaluation index of the social public parking lot with large capacity and low charging characteristics is high, and the hardware evaluation index of the residential parking lot with small capacity and high charging characteristics is low. , thus improving the accuracy of hardware evaluation indicators.
  • the data storage unit 72 is configured to acquire a location connection relationship between the parking lots in the preset area, calculate a service evaluation index of the parking lot according to the location connection relationship and the hardware evaluation index, and store the calculated service evaluation indicator in the parking lot.
  • the public database In the public database.
  • the data storage unit 72 after calculating the hardware evaluation index of the parking lot, the data storage unit 72 first acquires the location connection relationship between the parking lots in the preset area, to obtain the influence of the location connection relationship on the parking induction, and then according to the location.
  • the connection relationship and the hardware evaluation index calculate the service evaluation index of the parking lot, thereby using the public information of the parking lot to provide reference data for the subsequent parking guidance, simplifying the acquisition process of the parking lot data, and reducing the hardware requirements of the parking induced data storage.
  • the formula is used according to the location connection relationship between the parking lots in the preset area.
  • the hardware evaluation index of the parking lot is iteratively calculated, and the iteration is stopped until the preset convergence condition is reached, and the service evaluation index of the parking lot is obtained, thereby improving the calculation accuracy of the service evaluation index.
  • the preset convergence condition may be ⁇ is a sufficiently small preset value, and the higher the service evaluation index of the parking lot, the higher the evaluation of the parking lot in the preset area.
  • the service weight in the parking lot graphic structure of the parking lot P i in the preset area, and the initial value is The higher the service evaluation index of the parking lot when the preset convergence condition is reached, the higher the evaluation of the parking lot in the preset area, k is the number of iterations, and q is a adjustable factor between [0, 1].
  • the vehicle location obtaining unit 73 is configured to acquire a current location of the user's vehicle when receiving the parking induction request of the user's vehicle.
  • the vehicle location acquiring unit 73 acquires the current location of the user's vehicle, Get parking lots based on the location of the vehicle.
  • the indicator obtaining unit 74 is configured to acquire, from the preset parking lot publicity database, a service evaluation index of the parking lot and the parking lot within a preset range of the current location according to the current location of the user's vehicle.
  • the indicator obtaining unit 74 after acquiring the current location of the user's vehicle, the indicator obtaining unit 74 first acquires a parking lot within a preset range including the current location of the user's vehicle from the pre-established public information database according to the current location of the user's vehicle. And use these parking lots as candidate parking lots, and then obtain service evaluation indicators of these parking lots to further select from these parking lots according to service evaluation indicators, wherein the service evaluation indicators are calculated in advance according to the publicity information of the parking lots.
  • the data obtained and stored in the parking lot publicity database is used, and the service evaluation index calculated based on the publicity information of the parking lot is used as the reference data for the parking guidance, and the process of obtaining the parking parking parking guidance reference data is optimized.
  • the preset range of the acquired parking lot is a circular range centered on the current position of the user's vehicle and having a radius of the preset length, thereby ensuring that the acquired parking lot is convenient for the user vehicle to perform the nearby parking.
  • the preset length may be updated according to a preset update manner. The line is updated to get the parking lot near the user's vehicle.
  • the reference value calculation unit 75 is configured to calculate a current recommended reference value of the parking lot according to the orientation relationship between the parking lot and the location of the user's vehicle and the service evaluation index.
  • the reference value calculating unit 75 after acquiring the parking lot within the preset range including the current location, the reference value calculating unit 75 first acquires the orientation relationship between the parking lot and the location of the user's vehicle, and then according to the parking lot and the location of the user's vehicle. The current positional relationship and service evaluation indicators are used to calculate the current recommended reference values for these parking lots.
  • the current recommended reference values of the parking lots when calculating the current recommended reference values of the parking lots according to the orientation relationship between the parking lot and the location of the user's vehicle and the calculated service evaluation index, firstly, according to the orientation relationship between the parking lots and the position of the user's vehicle. Calculate the current convenience of these parking lots, and then calculate the current recommended reference values of these parking lots based on the current convenience and service evaluation indicators of these parking lots, thereby improving the accuracy of the calculation.
  • the current convenience of the parking lot when calculating the current convenience of the parking lot according to the orientation relationship between the parking lot and the location of the user's vehicle, first acquiring the vehicle coordinates of the user's vehicle in the preset coordinate system according to the current position of the user's vehicle, and acquiring The parking lot coordinates of the parking lot in the preset coordinate system, and then in the preset coordinate system, the current convenience of the parking lot is calculated according to the parking lot coordinates and the vehicle coordinates, thereby improving the accuracy of calculating the current convenience.
  • the preset coordinate system is a latitude and longitude coordinate system, thereby facilitating coordinate representation of the geospatial position.
  • the current recommended reference values of the parking lots when calculating the current recommended reference values of the parking lots according to the current convenience and service evaluation indicators of the parking lots, first obtaining the parking lot at the preset according to the parking lot coordinates of the parking lot in the preset coordinate system.
  • the quadrant in the coordinate system then obtain the driving direction of the user's vehicle, set the weight of the current convenience for the parking lot according to the quadrant in the preset coordinate system and the driving direction of the user's vehicle, and finally according to the parking lot.
  • the current convenience, service evaluation indicators, and current convenience weights are used to calculate the current recommended reference values for each parking lot, thereby further improving the accuracy of the calculation.
  • a formula can be used The current recommended reference value of each parking lot, thereby improving the calculation accuracy of the current recommended reference value, thereby improving the success rate of parking induction.
  • the current convenience weight, ⁇ lnPR i indicates the impact of the service evaluation index of the i parking lot on the parking lot selection, lnPR i represents the service evaluation index of the i parking lot, and ⁇ represents the preset weight of the service evaluation index.
  • the parking inducing unit 76 is configured to set the calculated parking lot with the current recommended reference value as the target parking lot of the user vehicle, and perform parking induction on the user vehicle according to the target parking lot.
  • the parking inducing unit 76 first compares the size of the current recommended reference value of each parking lot, finds the parking lot in which the current recommended reference value is the largest, and then sets the parking lot as the target parking of the user vehicle. In the field, according to the location of the target parking lot, a parking induction scheme is generated, and the parking induction of the user vehicle is performed according to the generated parking induction scheme, thereby improving the success rate of parking induction.
  • the service evaluation index calculated according to the publicity information of the parking lot is calculated in advance, and a public information database is established for storing the public information of the parking lot and the calculated service evaluation index.
  • the service evaluation index is used as the reference data for parking guidance, the acquisition and calculation process of the parking parking guidance reference data is optimized, the hardware requirements of the parking guidance data storage are reduced, and the parking-induced data calculation amount is reduced, thereby Reduces the complexity of parking induction.
  • the reference value calculation unit 75 includes:
  • a convenience calculation unit 751 configured to calculate a current convenience of the parking lot according to an orientation relationship between the parking lot and the location of the user's vehicle;
  • Reference value calculation sub-unit 752 for determining the current convenience and service evaluation indicators of the parking lot, Calculate the current recommended reference value for the parking lot;
  • the convenience calculation unit 751 includes:
  • the coordinate obtaining unit 7511 is configured to acquire vehicle coordinates of the user vehicle in the preset coordinate system according to the current position of the user's vehicle, and acquire parking lot coordinates of the parking lot in the preset coordinate system;
  • a convenience calculation sub-unit 7512 configured to calculate, in a preset coordinate system, a current convenience of the parking lot according to the parking lot coordinates and the vehicle coordinates;
  • the reference value calculation subunit 752 includes:
  • the quadrant acquiring unit 7521 is configured to acquire a quadrant of the parking lot in the preset coordinate system according to the parking lot coordinates of the parking lot in the preset coordinate system;
  • a weight setting unit 7522 configured to acquire a traveling direction of the user's vehicle, and set a weight of the current convenience for the parking lot according to a quadrant in which the parking lot is located in the preset coordinate system and a driving direction of the user's vehicle;
  • the result calculation unit 7523 is configured to calculate a current recommended reference value of the parking lot according to the current convenience of the parking lot, the service evaluation index, and the weight of the current convenience.
  • each unit of the parking inducing device may be implemented by a corresponding hardware or software unit, and each unit may be an independent software and hardware unit, or may be integrated into one soft and hardware unit, and the present invention is not limited thereto. .
  • Embodiment 4 is a diagrammatic representation of Embodiment 4:
  • FIG. 8 shows the structure of a computing device according to Embodiment 4 of the present invention. For convenience of description, only parts related to the embodiment of the present invention are shown.
  • the computing device 8 of an embodiment of the present invention includes a processor 80, a memory 81, and a computer program 82 stored in the memory 81 and executable on the processor 80.
  • the processor 80 executes the computer program 82
  • the steps in the above-described respective parking inference method embodiments are implemented, for example, steps S101 to S106 shown in FIG.
  • the processor 80 executes the computer program 82
  • the functions of the units in the above-described respective device embodiments are realized, for example, the functions of the units 61 to 66 shown in FIG. 6, and the units 71 to 76 shown in FIG.
  • the processor 80 executes the computer program 82, the above various parkings are implemented.
  • the step in the embodiment of the method is induced, when the parking induction request of the user vehicle is received, the current location of the user's vehicle is acquired, and according to the current location of the user's vehicle, the parking lot and the parking lot in the preset range including the current location are acquired.
  • the service evaluation index calculates the current recommended reference value of the parking lot according to the orientation relationship between the parking lot and the location of the user's vehicle and the service evaluation index, and sets the calculated parking lot with the largest recommended reference value as the target parking lot of the user vehicle.
  • the parking induction of the user vehicle is performed, thereby optimizing the acquisition and calculation process of the parking parking guidance reference data by using the service evaluation index calculated according to the publicity information of the parking lot as the parking induced reference data, and reducing the process.
  • the hardware requirements for parking-induced data storage reduce the amount of parking-induced data calculations, which in turn reduces the complexity of parking induction.
  • the description of the method in the first embodiment can be omitted.
  • Embodiment 5 is a diagrammatic representation of Embodiment 5:
  • a computer readable storage medium storing a computer program, the computer program being executed by a processor to implement the steps in the foregoing embodiments of the parking inference method, for example, Steps S101 to S106 shown in Fig. 1.
  • the computer program is executed by the processor to implement the functions of the units in the above-described respective device embodiments, for example, the functions of the units 61 to 66 shown in Fig. 6, and the units 71 to 76 shown in Fig. 7.
  • the current location of the user vehicle is acquired, and according to the current location of the user vehicle, the parking lot and the parking lot service evaluation in the preset range including the current location are acquired.
  • the indicator calculates the current recommended reference value of the parking lot according to the orientation relationship between the parking lot and the location of the user's vehicle, and the service evaluation index, and sets the calculated parking lot with the current recommended reference value as the target parking lot of the user vehicle.
  • the parking induction of the user vehicle is performed according to the target parking lot, so that the service evaluation index calculated according to the publicity information of the parking lot is used as the parking induced reference data, and the acquisition and calculation process of the parking parking guidance reference data is optimized, and the parking is reduced.
  • the hardware requirements for inducing data storage reduce the amount of data that is induced by parking, which in turn reduces the complexity of parking induction.
  • the parking inducing method implemented when the computer program is executed by the processor For a step, reference may be made to the description of the steps in the foregoing method embodiments, and details are not described herein again.
  • the computer readable storage medium of the embodiments of the present invention may include any entity or device capable of carrying computer program code, a recording medium such as a ROM/RAM, a magnetic disk, an optical disk, a flash memory, or the like.

Landscapes

  • Engineering & Computer Science (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Navigation (AREA)
  • Traffic Control Systems (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

La présente invention peut être appliquée au domaine technique des ordinateurs et concerne un procédé et un dispositif de guidage de stationnement, un système et un support d'informations. Le procédé consiste : à calculer, selon des informations publiques de parcs de stationnement dans une plage prédéfinie et une relation de connexion mutuelle de route parmi les parcs de stationnement, un indice d'évaluation de service des parcs de stationnement, et à mémoriser le résultat dans une base de données prédéfinie ; à obtenir un emplacement actuel d'un véhicule d'utilisateur lorsqu'une demande de guidage de stationnement du véhicule de l'utilisateur est reçue ; à obtenir, en fonction de l'emplacement actuel du véhicule de l'utilisateur et à partir de la base de données prédéfinie, un parc de stationnement dans une plage prédéfinie comprenant l'emplacement actuel et l'indice d'évaluation de service du parc de stationnement ; à calculer, selon une relation d'emplacement entre le parc de stationnement et un emplacement du véhicule de l'utilisateur et l'indice d'évaluation de service, une valeur de référence de recommandation actuelle du parc de stationnement ; et à déterminer un parc de stationnement, dont la valeur calculée de référence de recommandation actuelle est la plus élevée, en tant que parc de stationnement cible du véhicule de l'utilisateur et à effectuer, selon le parc de stationnement cible, un guidage de stationnement sur le véhicule de l'utilisateur. L'invention permet de réduire la complexité de guidage de stationnement.
PCT/CN2017/105480 2017-10-10 2017-10-10 Procédé et dispositif de guidage de stationnement, appareil informatique et support d'informations WO2019071414A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PCT/CN2017/105480 WO2019071414A1 (fr) 2017-10-10 2017-10-10 Procédé et dispositif de guidage de stationnement, appareil informatique et support d'informations

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2017/105480 WO2019071414A1 (fr) 2017-10-10 2017-10-10 Procédé et dispositif de guidage de stationnement, appareil informatique et support d'informations

Publications (1)

Publication Number Publication Date
WO2019071414A1 true WO2019071414A1 (fr) 2019-04-18

Family

ID=66100185

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2017/105480 WO2019071414A1 (fr) 2017-10-10 2017-10-10 Procédé et dispositif de guidage de stationnement, appareil informatique et support d'informations

Country Status (1)

Country Link
WO (1) WO2019071414A1 (fr)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113282835A (zh) * 2021-06-17 2021-08-20 东软睿驰汽车技术(大连)有限公司 停车地点推荐方法、装置和电子设备

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090198443A1 (en) * 2008-02-04 2009-08-06 Alpine Electronics, Inc. In-vehicle navigation device and parking space guiding method
US20090204600A1 (en) * 2008-02-13 2009-08-13 Toyota Motor Engineering & Manufacturing North America, Inc. Mobile recommendation and reservation system
CN103871270A (zh) * 2014-02-28 2014-06-18 张剑锋 基于云计算和大数据的停车方法和系统
WO2014117016A1 (fr) * 2013-01-25 2014-07-31 Parkwayz, Inc. Système informatique et procédé de recherche d'emplacement de stationnement
CN106228841A (zh) * 2016-08-10 2016-12-14 中国科学院深圳先进技术研究院 一种城市级停车诱导方法、装置及电子设备
CN106710296A (zh) * 2016-12-09 2017-05-24 深圳先进技术研究院 一种车载停车诱导方法和装置
CN107146451A (zh) * 2016-03-01 2017-09-08 中兴通讯股份有限公司 一种停车管理方法及设备

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090198443A1 (en) * 2008-02-04 2009-08-06 Alpine Electronics, Inc. In-vehicle navigation device and parking space guiding method
US20090204600A1 (en) * 2008-02-13 2009-08-13 Toyota Motor Engineering & Manufacturing North America, Inc. Mobile recommendation and reservation system
WO2014117016A1 (fr) * 2013-01-25 2014-07-31 Parkwayz, Inc. Système informatique et procédé de recherche d'emplacement de stationnement
CN103871270A (zh) * 2014-02-28 2014-06-18 张剑锋 基于云计算和大数据的停车方法和系统
CN107146451A (zh) * 2016-03-01 2017-09-08 中兴通讯股份有限公司 一种停车管理方法及设备
CN106228841A (zh) * 2016-08-10 2016-12-14 中国科学院深圳先进技术研究院 一种城市级停车诱导方法、装置及电子设备
CN106710296A (zh) * 2016-12-09 2017-05-24 深圳先进技术研究院 一种车载停车诱导方法和装置

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113282835A (zh) * 2021-06-17 2021-08-20 东软睿驰汽车技术(大连)有限公司 停车地点推荐方法、装置和电子设备

Similar Documents

Publication Publication Date Title
CN107886717B (zh) 一种停车诱导方法、装置、计算设备及存储介质
US11268824B2 (en) User-specific landmarks for navigation systems
JP6671406B2 (ja) 自動的に決定された出発点と選択された目的地との間のナビゲーション案内
US11003677B2 (en) Systems and methods for location recommendation
CN108995657A (zh) 操作自动驾驶车辆的方法和数据处理系统
US10677598B2 (en) Map-centric map matching method and apparatus
CN110263117B (zh) 一种用于确定兴趣点poi数据的方法与装置
US20190087443A1 (en) Location Refinement
JP2012511721A (ja) 目的地を判定するためのベクトルを有する地図データベース、及びベクトル判定方法
US10672114B1 (en) Computationally efficient distance-based score approximations
CN104200702A (zh) 一种查找车位系统及其方法
US11353328B2 (en) Navigation system, apparatus and method for associating a probe point with a road segment
EP3239955A1 (fr) Système, appareil et procédé de navigation et de confirmation de places de stationnement
US11385063B1 (en) Computationally efficient distance-based score approximations
WO2020239108A1 (fr) Procédé et appareil de positionnement, dispositif électronique et support de stockage
EP2594903B1 (fr) Procédé de représentation de caractéristiques linéaires dans un système de gestion de contenus de localisation
CN110555432B (zh) 一种兴趣点处理方法、装置、设备和介质
WO2020192123A1 (fr) Procédé d'amélioration de la précision de positionnement d'un site d'accident de la circulation
WO2019071414A1 (fr) Procédé et dispositif de guidage de stationnement, appareil informatique et support d'informations
WO2021253996A1 (fr) Procédé et système de fourniture d'image de scène réelle pour un utilisateur
KR102083109B1 (ko) 유도경로의 통행시간의 처리방법, 장치, 디바이스 및 컴퓨터 저장매체
CN111105124B (zh) 一种基于距离约束的多地标影响力的计算方法
US20210270629A1 (en) Method and apparatus for selecting a path to a destination
US11287278B1 (en) Offline registration of elements between maps
US20080249702A1 (en) Image-based localization for addresses

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 17928698

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

32PN Ep: public notification in the ep bulletin as address of the adressee cannot be established

Free format text: NOTING OF LOSS OF RIGHTS PURSUANT TO RULE 112(1) EPC (EPO FORM 1205A DATED 21/09/2020)

122 Ep: pct application non-entry in european phase

Ref document number: 17928698

Country of ref document: EP

Kind code of ref document: A1